Energy consumption is one of the top challenges for achieving the next generation of
supercomputing. Codesign of hardware and software is critical for improving energy …

Self-adaptation enables software to execute successfully in dynamic, unpredictable, and
uncertain environments. Control theory provides a broad set of mathematically grounded …

In this paper, we address the problem of efficiently managing the relative power demands of
a high-performance GPU and its memory subsystem. We develop a management approach …

Static analysis is a tremendous help when trying to find faults in complex software. Writing
multi-threaded programs is difficult, because the thread scheduling increases the program …

Code optimization in the high-performance computing realm has traditionally focused on
reducing execution time. The problem, in mathematical terms, has been expressed as a …

Reducing the energy consumption of software systems through optimisation techniques
such as genetic improvement is gaining interest. However, efficient and effective …

The increasing complexity of modern multi-and many-core hardware design makes
performance tuning of parallel applications a difficult task. In the past, auto-tuners have been …

This paper presents the first comprehensive study of the performance, power and energy
consumption of the Applied-Micro X-Gene, the first commercially available 64-bit ARMv8 …

Energy efficiency has become increasingly important in high performance computing (HPC),
as power constraints and costs escalate. Workload and system characteristics form a …

Designing and optimizing HPC applications are difficult and complex tasks, which require
mastering specialized languages and tools for performance tuning. As this is incompatible …